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Leon A. Gatys
Leon A. Gatys
Apple Inc.
Подтвержден адрес электронной почты в домене bethgelab.org
Название
Процитировано
Процитировано
Год
Image style transfer using convolutional neural networks
LA Gatys, AS Ecker, M Bethge
Proceedings of the IEEE conference on computer vision and pattern …, 2016
10108*2016
Texture synthesis using convolutional neural networks
L Gatys, AS Ecker, M Bethge
Advances in neural information processing systems 28, 2015
18342015
Controlling perceptual factors in neural style transfer
LA Gatys, AS Ecker, M Bethge, A Hertzmann, E Shechtman
Proceedings of the IEEE conference on computer vision and pattern …, 2017
723*2017
Deep convolutional models improve predictions of macaque V1 responses to natural images
SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ...
PLoS computational biology 15 (4), e1006897, 2019
4132019
Understanding low-and high-level contributions to fixation prediction
M Kummerer, TSA Wallis, LA Gatys, M Bethge
Proceedings of the IEEE international conference on computer vision, 4789-4798, 2017
3712017
Texture and art with deep neural networks
LA Gatys, AS Ecker, M Bethge
Current opinion in neurobiology 46, 178-186, 2017
1032017
What does it take to generate natural textures?
I Ustyuzhaninov, W Brendel, L Gatys, M Bethge
International conference on learning representations, 2017
86*2017
App usage predicts cognitive ability in older adults
ML Gordon, L Gatys, C Guestrin, JP Bigham, A Trister, K Patel
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
682019
A parametric texture model based on deep convolutional features closely matches texture appearance for humans
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
Journal of vision 17 (12), 5-5, 2017
642017
Image content is more important than Bouma’s Law for scene metamers
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
ELife 8, e42512, 2019
502019
Machine learning assisted image prediction
CE Guestrin, LA Gatys, SV Joshi, GM Larsson, KR Watson, S Sridhar, ...
US Patent 11,386,355, 2022
382022
Diverse feature visualizations reveal invariances in early layers of deep neural networks
SA Cadena, MA Weis, LA Gatys, M Bethge, AS Ecker
Proceedings of the European Conference on Computer Vision (ECCV), 217-232, 2018
332018
Synthesising dynamic textures using convolutional neural networks
CM Funke, LA Gatys, AS Ecker, M Bethge
arXiv preprint arXiv:1702.07006, 2017
252017
Guiding human gaze with convolutional neural networks
LA Gatys, M Kümmerer, TSA Wallis, M Bethge
arXiv preprint arXiv:1712.06492, 2017
192017
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
AC Miller, LA Gatys, J Futoma, E Fox
Machine Learning for Healthcare Conference, 308-336, 2021
92021
Synaptic unreliability facilitates information transmission in balanced cortical populations
LA Gatys, AS Ecker, T Tchumatchenko, M Bethge
Physical Review E 91 (6), 062707, 2015
82015
Modeling patterns of smartphone usage and their relationship to cognitive health
J Rauber, EB Fox, LA Gatys
Machine Learning for Health Workshop, NeurIPS 2019, 2019
72019
Towards matching peripheral appearance for arbitrary natural images using deep features
T Wallis, C Funke, A Ecker, L Gatys, F Wichmann, M Bethge
Journal of Vision 17 (10), 786-786, 2017
62017
Texture synthesis and style transfer using perceptual image representations from convolutional neural networks
LA Gatys
Tübingen, 2017
52017
Introduction to NIPS 2017 Competition Track
S Escalera, M Weimer, M Burtsev, V Malykh, V Logacheva, R Lowe, ...
The NIPS'17 Competition: Building Intelligent Systems, 1-23, 2018
22018
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